VanillaPlus Insight Report - Digital Identity and Data Analytics

DIGITAL IDENTITY & DATA ANALYTICS Are users' digital identities at the heart of monetising CSP data?

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ANALYST REPORT

The authors are, Karl Whitelock, the director of Global Strategy (left) and Troy Morley, a strategy analyst (right) for Operations, Orchestration, Data Analysis & Monetization (ODAM) at Stratecast | Frost & Sullivan

Introduction

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ike an old song on the radio, offering voice, text and data services has become so familiar to mobile and fixed-line customers that they take network connectivity for granted. They view getting connected and staying connected with equal footing to an electrical outlet, modern plumbing, the air we breathe and even the food we eat. For them, network connectivity is an essential part of life. Just ask anyone about the importance of social media, especially those between the ages of 12-30 Yet, when it comes to a digital lifestyle on the grand scale delivered by communications service providers (CSPs) even with the most advanced versions of LTE, the industry remains stuck in the past. Innovative proficiency has not kept pace.

Technology will continue to evolve and bring us more, much more in the coming months. The challenge lies in our ability – as a collective industry – to manage the data that will come from these services in a cost-effective manner. Network usage insights must also be used in a way that brings value to suppliers, business customers and consumers, while honouring all data privacy concerns.

CSPs, businesses and individuals are drowning in data as they struggle with how to make the most sense from it. The communications industry has yet to really move beyond just data and into a world where information derived from data can make a difference; the true information age. But, times are changing.

Figure 1: Projected global mobile data traffic 2014 - 2019

The CSP data conundrum The engine creating new business opportunities and driving service innovation, as shown in Figure 1, is indeed data. Lots and lots of data. It should be no surprise that the digital economy is about data – constant streams of it to and from customers across global networks, combined with the details that identify one customer from the next. Presently,

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Source: Cisco VNI Global Mobile Data Traffic Forecast Update 2014-2019, Stratecast

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ANALYST REPORT

Many CSPs regard the vast volumes of data traversing their networks from two perspectives: the cost of carrying capacity and the competitive insight that can be gained from data usage analysis.

Figure 2: Today it is all about data and the mobile app

The unceasing growth in data volumes represents a cost – something that must be dealt with for CSPs to remain in business. Networks must continually scale up to handle more traffic. Additional spectrum is required to meet advancing customer needs. And, the business management and operations systems must address these larger data volumes, often in real-time.

Analysing network usage data to derive information about customers, products, services and the business itself, is strategic for any organisation – CSP or otherwise. Gaining insight from this information yields the real pathway to business success: intelligence. Delivering the business analysis that data contains, to the right place, at the right time, defines relevance.

All are core competencies of the data-driven operations, orchestration, and monetisation functions that will keep a CSP's business viable for years to come.

Supporting the transport of large data volumes, and analysing customer network usage, is not an either-or situation. As data volumes rise, the cost increases; yet, so does the potential for greater intelligence and better business results. While it has been said that data ownership is the newest currency of business, and the gateway to long-term success, applying the results from CSP data analysis is the key to opening the door to smoother operations, more satisfied customers, and hopefully increased revenue.

There’s an app for that and lots of data to go with it From a customer’s perspective, everything is an app today, as shown by Figure 2.

Data movement across a network can be substantial for some app types – streaming movies, self-made video, or gaming entertainment. It can also be minimal – a simple information search or a weather check. Over the next two to four years, an increased outpouring of data from new customer apps and

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Source: Stratecast

services involving virtualised networks, virtual or augmented reality, 3D and 4D printing, and 5G networks, will be commonplace. These core capabilities are the basis for smart cities, smart cars, smart government services, and smart health/wellness care, to name a few.

Extracting the most benefit from network and customer sources is both challenging and overwhelming for network operators and the businesses now delivering value within the global connected marketplace. Understanding what data to tag as useful, poses an equally concerning dilemma. As one can appreciate, such data volume increases place a heavy burden on all previously installed business and operations systems.

Billing data collection and processing: a hard reality check Results from Stratecast’s now annual – previously biennial – survey of global billing solution suppliers, concerning the key requirements their service provider customers place on them, is shown in Figure 3. Most of the 2015 respondents indicate that the number of usage transactions requiring collection and processing for billing purposes is much greater than 20 billion per day, which was an unheard of amount in 2011 when Stratecast first conducted this survey.

In 2015, more than half (62%) of the monetisation solution suppliers in the survey noted that scaling or developing systems with processing capacity to address 50 billion or more

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transactions per day is a realistic planning objective. They believe that such processing volume will satisfy CSP business needs for the next three years, as 4G LTE networks become the dominant access medium.

Figure 3: Usage transaction processing volume per day

number of transactions to process. In both cases, transaction volumes are significant.

The expanding role of purpose-built analytics for communications Before the term big data reached the peak of its industry hype a couple of years ago, CSP business management and network operations insight analysis had already delivered many solutions designed to address day-to-day customer, service, and network management concerns. These purpose-built data analysis and management functions take on many names, which are still relevant, and in fact have gained importance in certain circles inside and outside CSP operations and customer management centres.

Source: Stratecast 2015 Biannual Billing Requirements Global Market Supplier Survey

Stratecast believes that an objective of 50 billion transactions per day is realistic, however it could prove inadequate in the near future. Why? The continued deployment of LTE and evolution to LTE-A, the growth rate of user apps, and increasing consumer acceptance of mCommerce as a more secure way to make personal payments, will likely create a higher level of transaction volumes than what each category individually projects. In addition, the longer-term quest for 5G networks capable of handling 1000x greater throughput volumes and 10x–100x faster data rates, will push demand for systems to process ever higher daily transaction volumes.

Presently, Stratecast is aware of two network operators that are approaching 20 billion usage transactions per day, for monetisation purposes; and at least three additional CSPs processing more than 100 billion transactions per day, for network operations needs. While equal in importance and throughput capacity requirements, transaction volumes for the monetisation and operations processes are different. Network operations teams need to see every transaction from every part of the network – hence the 100+ billion level. The monetisation processes are concerned with transactions that relate to measurable, accountable, and chargeable usage, which often means the aggregation of multiple records, and thus a lower

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In the past, installed operations and business support systems focused on internal network and operations needs according to a specific design purpose. These included, for example, network fault monitoring, billing mediation, customer experience management, and revenue assurance. These systems each involve a data collection and analysis function. However, little or no effort was made back then to deploy a common data collection and analysis model that could be shared among multiple systems and processes. Even today, a network fault management solution monitors for operational issues tied to network elements, network nodes, and network databases. It is completely self-contained. It does not look at the performance management or service management functions – so closely related to fault management – because a fault management system does not collect the type of data needed to support performance or service management.

Integrated network fault, network performance, and customer device monitoring solutions are now available, but only from a select number of suppliers, some of which combine network and customer data to deliver customer-centric insight. A concerted effort is underway among service assurance and test and measurement suppliers to combine these capabilities and bridge the gaps between network management, service management and analytics.

As another example, billing mediation was originally designed to address the data collection, aggregation, and correlation needs

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ANALYST REPORT

of the billing process and nothing else. Then, approximately four years ago when the common data analysis story was first voiced, the idea of using billing data for multiple business purposes started to gain traction. Some CSPs have recognised the importance of multi-function solutions as a means to reduce operating costs, improve data integrity, and to form the foundation upon which advanced customer services can be supported.

In yet a third example, working with network usage data and customer details to understand the customer experience, while not a new topic for Stratecast, has been labeled by some as the network-facing part of customer experience management, also known as customer service assurance (CSA). CSA covers a broad range of customer, network, and business management functions. CSA is a growing aspect of new technology trials, management of existing services, and in the validation of key operational parameters tied to new service offerings. CSA measurements can take on many forms and address multiple business needs. For example, CSA is becoming a major factor in the determination of quality of service (QoS) levels with certain customer-sensitive offerings.

Figure 4: CSP business, operations, and customer experience data analysis processes

data analysis processes can best benefit from using a common data collection and analysis approach. Using a single platform, for example, rather than separate solution silos, can minimise operating costs, and deliver an enhanced customer experience by bringing cross-functional awareness to CSP work processes.

Bringing the business, network operations and customer experience processes together is not a new requirement.

However, the number of use cases today that are tied to integrated use of network and customer data is rapidly climbing, and quickly becoming the de facto approach to endto-end customer management. Responding to customer solution offering updates and relaying service change needs to partners, must be addressed at market speed. CSPs are rapidly realizing the value of real-time purpose-built data analytics and its importance to business success.

Data analysis brings new business models: prepaid time-based data access Customers look for an easier way whenever challenged by pricing or usage complexity. For example, prepaid customers in the Asia Pacific, Eastern Europe, and African regions continue to seek out alternatives to the megabyte mobile data plans now provided by network operators in these markets. In addition, international travellers are fixated on the high price of data usage while roaming. Many of them, if not most, turn off their data services to avoid paying inflated roaming charges.

While there are numerous externally-facing partner and customer management needs as just described, there are also countless internal business processes CSPs must not overlook.

Many of these challenges, especially those involving the use of data to generate new revenue opportunities, can be addressed with purpose-built analytical tools and out-of-the-box thinking.

For example, why is everybody so concerned with the technology-driven and data-focused perspective of today's digital society? One of the answers lies with data-intensive service affordability.

Source: Stratecast

Regardless of what CSP network operations, billing, or customer experience management functions are called today, as shown in Figure 4, there is growing evidence that the CSP

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While customers in mature markets may be engaged with postpaid, multi-gigabyte mobile data plans that often exceed US$150 per month, there are billions of people in many global

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markets that cannot afford such levels of spend. In the Philippines, which is a market with more than 90% prepaid customers, mobile data is not mainstream because customers have a small amount of disposable income, and always look for free Wi-Fi before turning on their mobile data. Customers in other geographies – and not just in emerging markets or while roaming – reach for Wi-Fi first, as a way to minimise their chance of overshooting their allowable data plan limits. Several questions come to mind with this observed customer behaviour, namely: • How will customers globally benefit from data-bloated new technologies such as 3D printing and virtual reality that are becoming mainstream for some businesses?

• How will business customers pay for the new service offerings that are sure to come with these expansive technologies?

• Will consumers pay for the bandwidth needed to make personal usage of 3D printed materials a viable option, especially if their only means of internet access is a mobile device?

• If 5G makes as big a difference in the way data passes across the radio access network (RAN), as 4G did within the 3G world, how will such an increase in data volume be accounted for and billed so as to not overpower the budgets of even the most significant postpaid data users?

• Will prepaid users be taken out of the data monetization and service experience equation altogether?

The answers to these questions and others are what will power new innovation amongst data monetisation suppliers and define business models yet to make a mark by CSPs the world over.

As a way to address the mobile data access affordability problem, consider for a moment the concept of time-based mobile data access. Time-based mobile data involves a business approach that customers have been trained to understand for years: pay for minutes of use. Shown in Figure 5, time-based mobile data means that a customer can purchase app-specific, Website-specific, group bundles, or full internet access in measures of time rather than megabytes or gigabytes to be consumed. Payments are prepaid, and usage is continuously metered to show the customer how much time is remaining for each data-access package followed by the use of policy to administer usage constraints.

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Figure 5: Hypothetical example of time-based mobile broadband access

Source: Stratecast

Is time-based mobile data a good strategy and positive revenue-generating approach for the small number of CSPs that have engaged in it already? Only time will tell, however, when this approach was first executed in the Philippines more than a year ago, 3G mobile data traffic went from a trickle to more than 10 million users in less than 12 months. To be successful with time-based data access service plans, an organisation must apply a good amount of effort towards network data usage analysis to understand the cost in traffic carrying capacity verses the revenue needed to justify these costs. Once pricing definitions are determined, CSPs need to be aware that what works in one market or region, may or may not be profitable in another.

Policy-enabled real-time charging, and insights from CSP network data traffic, can now be combined to create a new level of personalised experience, based on mobile data consumption pricing. This is much different, and requires a lot more usage analysis than traditional megabyte/gigabyte pricing strategies. While not the answer in all markets and for all customers, providing mobile data in terms that are more easily understandable by customers makes good business sense, if the new pricing plans meet reasonably-defined CSP profitability requirements.

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ANALYST REPORT

Data analysis and unlocking the value of customer behaviour Data analysis is playing a larger role with some CSPs, as they grasp the significance of real-time customer interaction. But, there is still a long way to go. Customers today are used to dealing with problem resolution and decision making at internet speed, propelled by the omni-channel marketing push of the retail industry. With this mindset, CSPs are in various stages of rising to customer demand mostly through self-care service options. But, when it comes to technology issues or service concerns, customers want action and immediate problem resolution. For example, how do each of the following realworld use cases play out from a customer’s usage and billing perspective?

• What do customers do if they experience network compatibility trouble with a recently purchased device?

• What if a customer has problems with a device OS upgrade?

• What about a customer that is suddenly unable to access the internet or a certain app that previously worked?

• If the network detects a malware intrusion from a potentially infected customer device and locks out the customer account or just the device, how is the customer notified and what steps can the customer take to resolve such issues?

• Most importantly, how are customers informed about data usage compared with postpaid usage plan caps or prepaid authorisation limits?

Without real-time notification of usage, for example, postpaid customers can easily exceed a data plan limit. Some CSPs still allow the customer to continue usage when this condition happens, but at a premium rate with no notification. In other situations, mobile roaming activates premium charges per data volume consumed. In both cases, the result is bill shock and customer complaints.

What if a postpaid customer runs out of data usage quota before the start of his or her next billing cycle? For CSPs in many parts of the world, postpaid customers are rare. A prepaid SIM is the norm rather than the exception. So, when a postpaid customer in these regions meets or exceeds a data plan limit before the billing cycle is up, many CSPs extend additional data volume by automatically bumping up the

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customer to the next usage tier, and then sending a notification of both the data usage limit increase and corresponding additional charges that now apply. But, this practice is not universal, especially in markets where the majority of mobile customers are postpaid users; and, until very recently, the previously described bill shock situation in these regions has been the norm rather than the exception.

A business critical and potentially revenue-generating opportunity for CSPs globally lies with immediate and actionable impact analysis, to understand and predict customer behaviour based on network usage or billing record data. Then, with that insight, deliver an enticement to only the affected customers as a token of added value and perceived concern about them individually.

Recently, a network operator using a purpose-built data analysis toolset enabled its marketing-level analysts, rather than IT or data science specialists, to look for demographic-specific customer usage changes in network access and service usage.

Through a series of steps, this organisation identified approximately 15,000 customers out of more than 30 million that were voluntarily curtailing the use of mobile data services the last three days prior to the automatic renewal of their monthly postpaid billing cycle. These customers were more concerned about data overage charges – when they exceeded the contract limits of their monthly data volume allotment – than with an always connected lifestyle. These customers had decided that paying a higher data usage amount to stay connected was not equitable enough for continuous access of a popular social media application. Most of them reverted to the free Wi-Fi route.

The remedy to this situation was early CSP detection of such behaviour and then a personalised offer to top-up their data plan for access only to the social media app of most importance until the billing cycle refreshed. This action resulted in a new avenue of revenue for the CSP with an almost 20% take rate by the customers who received the top-up offer. This new service offering, as an added benefit for the CSP, significantly improved the experience of the affected customers.

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Conclusion Network operators have been collecting, sorting, aggregating and correlating customer usage data to address several internal business operations and monetisation needs for years. All of them have recently come to an understanding of the power of gaining insight into their customer base, and in delivering the right level of anonymised customer awareness for their partners.

Customers are the beneficiaries of this process as mobile digital content, mobile cloud-based apps, and even advertising becomes more individually focused around the things that matter most to them. Indeed, the era of personalisation is not just about mobile devices, connected wearables, or even smarter daily services associated with where a person lives and how they travel. The era of personal data collection by trusted parties is making life a better experience, but it also comes with a challenge and a price.

Central to the world of personalisation is real-time data analysis and usage awareness. Real-time has one meaning if applied to the connected car, where low latency and highvolume data exchange is critical. Real-time has a different meaning when making an individualised pricing plan offer available for anyone using a particular application, and whose mobile tiered data plan is about to exceed a usage limit. Both real-time situations are important to those involved. Delivering the right data at the right time is the challenge, as contextual awareness now plays a solid role in data usage analysis.

About Stratecast Stratecast collaborates with its clients to reach smart business decisions in the rapidly evolving and hypercompetitive Information and Communications Technology markets. Using a mix of action-oriented subscription research and customised consulting engagements, Stratecast delivers knowledge and perspective that is only

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The reward is significant to CSPs that use customer insight analysis to create competitive advantage through delivery of service capabilities with high customer appeal. Harnessing customer data in a proper and secure manner is the key to business success, customer satisfaction, and a means for curbing unnecessary regulation. The price for managing customer data requires CSPs to transform their business processes to a real-time operating environment. The price includes higher standards for keeping data secure, so as to keep customer trust high. The price also means that realtime customer usage data collection and analysis must be tied to a real-time charging and billing solution, to get the added benefit that customers hope for and CSPs dream about.

A new era of customer insight analysis and monetisation strategy is now unfolding. The challenge comes to those organisations that can get the real-time customer data collection, charging, and billing process right. Right for the customer, with enticing contextual service offers while keeping their data secure; and right for the CSP, with increasing revenue from an ongoing supply of new service offerings. Some organisations are moving swiftly, while many others are still waiting to engage with the right supplier that can make real-time data collection, analysis, and charging a reality. The real question is: what side of the fence is your organisation on, both now and a few months from now?

Straddling the fence is no longer an option, as competitive opportunities that only last for hours, or possibly minutes, are becoming the norm rather than the exception.

attainable through years of real-world experience in an industry where customers are collaborators; today’s partners are tomorrow’s competitors; and agility and innovation are essential elements for success. Contact your Stratecast account executive to engage our experience to assist you in attaining your growth objectives. www.stratecast.com

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COMPANY PROFILES

Company summary Founded

1993

HQ

Beijing, China

Employees

Over 14,000

Revenue

Undisclosed

Customers

China Mobile, China Telecom, China Unicom, AIS (Thailand), Zong (Pakistan), U Mobile, Nepal Telecom, Hello Nepal, the Telenor group and more.

Partnerships

Member of TM Forum and the NGMN Alliance.

Financial Status

Privately held

Company summary Founded HQ Employees Revenue Customers

Partnerships

BSS products with integrated analytics Veris

The company’s BSS solution suite, Veris, includes the core products of billing, customer relationship management (CRM) and business intelligence (BI).

• Veris Billing – The modular system provides end-to-end billing capabilities including mediation, real-time rating and charging, policy management, interconnect and settlement, and partner management, multiple levels of convergence such as network, service, payment, and integrated purpose-built analytics capabilities. Its real-time self service capabilities enable innovative concepts like transferring resources to friends, transforming spare resources into others, and customising monthly plans.

• Veris CRM – This system supports omnichannel interaction with customers – in store, online, over the phone, via email, via social media, or through a CSP-branded self-help app. AsiaInfo’s SVT (Single Version of the Truth) architecture means all channels share the same workflow and data, to allow customers to start in one channel and finish in another seamlessly.

• Veris BI – A suite of business intelligence software products for the telecoms industry, it provides real-time operational and strategic insights, and is built to support big data initiatives.

Veris BI processes disparate structured and unstructured data, to produce actionable intelligence. According to AsiaInfo, the insights gained from Veris BI enable CSPs to improve customer experience, boost revenue, and cut costs.

Key differentiation and competitive pressures Using some of the world’s largest CSPs in China as a proving ground, AsiaInfo has found success with its Veris suite of BSS in other parts of Asia, and more recently, in Europe as well. What sets apart this suite from other solution offerings is the tight integration that Veris BI has with the rest of the suite, particularly with Veris Billing. Numerous functionality modules from the Veris BI suite can be plugged together to allow real-time analysis of customer usage behaviour, allowing CSPs to understand their customers’ context better, increase customer satisfaction and revenue and reduce costs.

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Financial Status

1985 Quebec City, Quebec, Canada Approximately 1,500 US$222 million Global customer base includes Tier 1 and 2 wireline CSPs, wireless operators, cable MSOs, network solution vendors, enterprise LAN/WAN, education and research, and government, aerospace and defence.

MEF, CENGN, Ciena Blue Orbit Ecosystem, HPE OPEN NFV Ecosystem, ALU Cloudband Ecosystem Public

Telecoms test and service assurance solutions Test and measurement

With myriad field and lab instruments designed for fixed and mobile networks, EXFO streamlines test and monitoring cycles and makes the transition to new technologies both simpler and faster.

Optical – A wide, range of fibre test and characterisation solutions: from connector inspection kits, OTDRs and iOLM, up to dispersion and optical spectrum analysers.

Transport and Datacom – Solutions covering SONET/SDH, OTN, Ethernet and converged multiservice networks up to 100G. Access – Solutions for deploying high-speed, triple-play services in the last mile: wideband copper, xDSL, VDSL2 bonding and vectoring, VoIP, data and IPTV. Performance Analysis – 4G/LTE network simulators, dedicated benchtops and modular platforms for lab optical, transport and datacom testing.

Service assurance Service, subscriber and network analytics; active and analytics probing; passive probing and device agents. EXFO provides an end-to-end view into the subscriber experience (E2E SX) based on the level of experience measured, analysed and reported from subscriber, service and network perspectives. Key solutions include EXFO Xtract open real-time analytics platform.

Key differentiation and competitive pressures EXFO empowers CSPs and network solution vendors to improve the performance of their networks, and the service experience of their subscribers, by designing intelligent, automated and cloud-based test and monitoring solutions. EXFO also delivers contextually relevant analytics. EXFO couples these capabilities with an end-to-end view of the service experience.

EXFO’s inherent expertise, acquired over 30 years, encompasses recent technologies such as voice over LTE (VoLTE) and network functions virtualisation (NFV). This experience enables the company to transform data into actionable intelligence for improving the end-to-end service experience.

EXFO’s approach is to design: data collectors, intelligent applications that make collection simple for CSPs, and the analytics to bring it all together. EXFO moves CSPs forward with solutions to cover the entire loop from service turn-up to the subscriber’s device and back.

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COMPANY PROFILES

Profile by VanillaPlus

Company summary

Company summary

Founded

1997

Founded

1983

HQ

Warrington, United Kingdom

HQ

Stockholm, Sweden

Employees

Undisclosed

Employees

170

Revenue

Undisclosed

Revenue

Undisclosed

Customers

Customer base includes CSPs, DSPs and MVNOs in Europe. Key customers include: ACN, BT, Dixons Carphone, eir, iD Mobile, Telefónica UK and TalkTalk.

Customers

Partnerships

Technology partners include: Brightstar, Bottomline Technologies, Equifax, Getronics, IBM, MasterCard, MATRIXX, 20:20 Mobile, Oracle, Red Hat and Tech Mahindra.

More than 110 CSP customers in more than 50 countries for CEM, service assurance and network monitoring. Selected customers include: TeliaSonera, Telenor, Tele2, Singtel, Telefónica, Belgacom, T-Mobile, Bell and Three.

Financial status

Privately held

Financial Status

Data analytics credentials and products

Privately held Polystar helps CSPs to unlock the value of big data and monetise assets more effectively through extracting valuable analytics data points and insights from the vast volumes of user and network data that CSPs generate and store.

Revenue management products with associated analytics MDS Customer Management Platform (CMP)

MDS CMP is a cloud-based, real-time convergent billing and customer management solution that features rating and charging and policy, fulfillment capabilities, integrated analytics, and self-care.

CMP addresses both the enterprise and consumer market.

The company delivers solutions that link network analytics with the user experience at CSPs. The company’s systems include real-time network monitoring, as well as subscriber and marketing analytics solutions. Polystar’s tools help CSPs to understand their networks and customers better or help marketing teams to design personalised, targeted offers in order to deliver the best possible customer experience.

Convergent across networks, services, and payment methods, CMP allows service providers to combine all their billing needs on a single platform. Multi-dimensional rating capabilities support custom price plans, flexible bundles, and discounts.

Polystar offers flexible deployment models and its solutions can be rolled out as standalone analytics systems with their own interface or integrated into big data systems from other providers. Either approach enables Polystar to deliver rich insights into customer and network behaviour.

CMP’s customer management capabilities provide a full view of customers and their services, improving customer care and the customer experience.

Integrated business analytics provide a deeper understanding of customers ensuring a better experience, while reducing costs. Embedded analytics within CMP helps to anticipate and deliver the services that customers want most.

Network Insight

Real-time network analytics enables CSPs to prevent churn, retain high-value and strategic customers and improve overall customer satisfaction by delivering the best customer experience through outstanding network performance and quality.

Customer Insight

Customer Insight solutions help CSPs to deliver a superior service experience, understand their customers better, reduce churn, and improve operational performance.

CMP features multi-tenancy to support multiple MVNOs or to allow a provider to launch its existing brands into new verticals.

Key differentiation and competitive pressures MDS CMP is entirely cloud-based, designed for enterprises and MVNOs and to be complementary to a CSP’s existing infrastructure.

This gives the carrier an ability to transform into a digital service provider with reduced risk. The solution allows CSPs to enter new markets rapidly, try out new business models, and offer new products and services, quickly, without upfront costs for infrastructure and lengthy implementation cycles. The company’s managed services combined with its size and geographic focus has created an enviable reputation for successful delivery of projects. The company’s strategy for focusing on MVNOs and the B2B market accelerating CSPs to move into the digital services, appears to be paying off.

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Key differentiation Polystar’s primary differentiation is that, uniquely, it offers support for all network technologies in a single solution, from 2G to 4G and VoLTE, which enables streamlined usage across network types. The company’s solutions for network and customer insights are integrated, so a seamless drill-down can be performed.

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COMPANY PROFILES

Company summary

Company summary

Founded

1996

Founded

2011

HQ

Vienna, Virginia, United States

HQ

Toronto, Ontario, Canada

Employees

160

Employees

90+

Revenue

Undisclosed

Revenue

Undisclosed

Customers

Global customer base includes Tier 1 CSPs and OTT providers in Asia, Europe, North America and South America. Key customers are: América Móvil, AT&T, Deutsche Telecom, Twillio, Sprint, Switchco, Telefónica and Verizon

Customers

Customer base includes CSPs in North America, EMEA and Latin America. Key customers include: Telus, Rogers Communications, CenturyLink, Cable & Wireless Communications and Cable Bahamas.

Partnerships

The Telarix Technology Alliance Partner Programme includes: Amdocs, Arptel, Ascom, IceHook, NxtGn, PurgeFraud and XConnect

Partnerships

Extensive partner ecosystem with 40+ vendors including: Ericsson, Cisco, ThinkAnalytics, Nokia, Genband, Nest, Fitbit and Aria Systems.

Financial Status

Privately held

Financial Status

Privately held

Revenue management solutions with purpose-built analytics Telarix iXTools

Telarix iXLink

The company’s solutions focus on wholesale revenue management. iXTools covers all areas of interconnect business including: • Billing, routing and provisioning • Trading, settlement and dispute management • Traffic and quality management • Bilateral and carrier agreement management • A comprehensive fraud defense suite • In-depth business intelligence and analytics iXLink is an information exchange platform that enables CSPs to automate the exchange of business documents for the interconnect processes and to electronically share documents, such as pricing quotes, rate and dial code changes, numbering plans, invoices, and declarations. iXLink has over 4,000 members with 40 million transactions monthly.

Key differentiation and competitive pressures Telarix addresses what it calls Interconnect Business Optimisation, which aims for more efficient carrier-to-carrier relationships through its portfolio of wholesale solutions and associated analytics capabilities. iXTools can be a pre-integrated suite or delivered as standalone modules. The iXLink exchange service allows members to apply business rules that are specific to each partner and/or service to validate transactions, meet internal business objectives, and capture errors so that the sender can be notified immediately. Telarix is a market leader within the wholesale revenue management domain, though it continues to face competitive pressure from other suppliers and clearinghouses.

Identity driven service enablement platform MINT Digital Experience Engine

The MINT Digital Experience Engine works with existing billing, customer care, and identify management systems. It is an overlay for managing customer relationships beyond the billing account.

MINT enables the creation of user hierarchies that provide users delegated access to manage their specific set of individual, shared, or cloud-based services.

MINT enables CSPs to manage the digital lifecycle of every user consuming services – not just the account holder responsible for the bill. By overlaying existing legacy systems, the solution expands the possibilities of service offerings and business models; adding user-centric business processes to simplify user access journeys, unify services around users, and individually personalise the service experience.

Usage data is powerful for CSPs, however most activity is logged at the household or device level.

With MINT usage data is logged at the individual user level. This user data can then feed personalisation and recommendation engines, targeted advertising, analytics and campaign management systems to deliver fully personalised user experiences while maximising the monetisation of a service.

MINT also automates the onboarding and registration of devices by using similar processes, including automated device association and username-driven registration processes, largely eliminating manual legacy processes and complex account numbers or unique device identifiers.

Key differentiation and competitive pressures UXP Systems, and its MINT Digital Experience Engine, allows CSPs to move beyond the limitations of their legacy systems and the billing relationship, to provide individual-user-centric service personalisation.

User-specific usage data provides more value to CSPs; by deepening CSP understanding of individual users when multiple users share an account. The company has created a new software category, so competition is limited at this point; making UXP Systems a company to watch in the months ahead.

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VANILLAPLUS MAGAZINE I DECEMBER 2015 / JANUARY 2016